Background: Accumulating evidence has supported the effect of antibody-dependent cellular phagocytosis (ADCP) on the tumor microenvironment (TME) and cancer therapy. However, an ADCP-based signature to predict the prognosis of gastric cancer (GC) has not been established.
Objectives: We aimed to develop an ADCP-based signature to improve the prognosis prediction of GC.
Material and methods: Antibody-dependent cellular phagocytosis genes that exhibited a differential expression were characterized, followed by the construction and validation of the ADCP-based signature. The potential association between the ADCP-based signature and TME was explored, and the features of the signature genes were investigated. Finally, a predictive nomogram was established based on the ADCP-based signature.
Results: Four ADCP-related genes, MKNK2, VCAN, LRAT, and GNGB, were identified to construct the ADCP-based signature, and a high ADCP score predicted an unfavorable prognosis in GC patients (p < 0.05). The ADCP-based signature was significantly associated with immune cells, immune checkpoints and immune signaling pathways (p < 0.05). Gastric cancer patients with high ADCP scores benefited less from immunotherapy compared to those with low ADCP scores. A nomogram including age, stage and risk score of the ADCP-based signature was constructed to predict the 1-, 3- and 5-year survival probabilities, with an area under the curve (AUC) of 0.669, 0.675 and 0.685, respectively.
Conclusions: The ADCP-based signature may serve as a new option for prognosis prediction and the personalized treatment of GC patients.
Keywords: antibody-dependent cellular phagocytosis; bioinformatics analysis; gastric cancer; prognostic signature; tumor microenvironment.